{"title":"药物科学的机器学习","authors":"de Azevedo Jr. Walter F.","doi":"10.37349/eds.2023.00007","DOIUrl":null,"url":null,"abstract":"Artificial intelligence (AI) has taken the daily news with increasing impact. The crescent growth of computational power and the rapid development of algorithms to harness this computational capacity delineate the perfect scenario for this avalanche of information about AI. Drug science is not immune to this influence, and many drug discovery projects employ AI. A search on PubMed using as strings “artificial intelligence” and “drug discovery” returned 1,149 publications up to 2022 (January 23, 2023). The histogram is shown Figure 1. The plot indicates a rapid increase in publications after 2018.","PeriodicalId":72998,"journal":{"name":"Exploration of drug science","volume":"8 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2023-04-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Machine learning for drug science\",\"authors\":\"de Azevedo Jr. Walter F.\",\"doi\":\"10.37349/eds.2023.00007\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Artificial intelligence (AI) has taken the daily news with increasing impact. The crescent growth of computational power and the rapid development of algorithms to harness this computational capacity delineate the perfect scenario for this avalanche of information about AI. Drug science is not immune to this influence, and many drug discovery projects employ AI. A search on PubMed using as strings “artificial intelligence” and “drug discovery” returned 1,149 publications up to 2022 (January 23, 2023). The histogram is shown Figure 1. The plot indicates a rapid increase in publications after 2018.\",\"PeriodicalId\":72998,\"journal\":{\"name\":\"Exploration of drug science\",\"volume\":\"8 1\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-04-16\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Exploration of drug science\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.37349/eds.2023.00007\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Exploration of drug science","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.37349/eds.2023.00007","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Artificial intelligence (AI) has taken the daily news with increasing impact. The crescent growth of computational power and the rapid development of algorithms to harness this computational capacity delineate the perfect scenario for this avalanche of information about AI. Drug science is not immune to this influence, and many drug discovery projects employ AI. A search on PubMed using as strings “artificial intelligence” and “drug discovery” returned 1,149 publications up to 2022 (January 23, 2023). The histogram is shown Figure 1. The plot indicates a rapid increase in publications after 2018.
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